Adaptive CUSUM for Steady State Normal Data

Ross Sparks

A chapter in Quality Management Systems - a Selective Presentation of Case-studies Showcasing Its Evolution from IntechOpen

Abstract: This chapter deals with monitoring plans that exploit temporal predictable trends by adjusting the cumulative sum (CUSUM) plan to be efficient for their early detection. The adjustment involves changing the amount of memory the chart retains to detect persistent changes in location early. The focus is on steady-state situations when either the shift size is known in advance or when it is unknown. Several options are explored using simulation studies, and an example of application is considered.

Keywords: average run length; early detection; monitoring; persistent trends; statistical process control (search for similar items in EconPapers)
JEL-codes: L15 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:ito:pchaps:122389

DOI: 10.5772/intechopen.70752

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